Research publications using GENESIS

The following list contains the 312 research publications that we know of (as of April, 2009), originating from outside of the Bower laboratory.

We have listed only peer-reviewed papers in journals, books, and published conference proceedings. This does not include the many conference abstracts or unpublished proceedings, talks, and poster presentations. If you know of others, please let us know through the forums and mailing list.


Yearsort iconTitleAuthor(s)Journal/Book Reference
(2000)Regulation of the action potential voltage threshold in cat spinal motoneurons during fictive locomotion.Dai, Y., Jones, K., Fedirchuk, B. and Jordan, L.Neurocomputing 32-33:105-111.
(2002)A modelling study of locomotion-induced hyperpolarization of voltage threshold in cat lumbar motoneurones.Dai, Y., Jones, K., Fedirchuk, B., McCrea, D. A . and Jordan, L. J. Physiol. 544: 521-536.
(1998)Modeling the lowering of motoneurone Voltage threshold during fictive locomotion.Dai, Y., Jones, K.E., Fedirchuk, B., Krawitz, S., and Jordan, L.M.Neuronal Mechanisms for Generating Locomotor Activity. Kiehn O., Harris-Warrick R.., Jordan L.M., Hultborn H. and Kudo N (Eds) pp 492-495. Annals of the New York Academy of Sciences, New York.
(1998)A computer simulation of the formation of tonotopic maps in the primary auditory cortex.de Pinho, M. and Roque, A. C.Braga, A. P. (Ed.). Anais do V Simposio Brasileiro de Redes Neurais, Belo Horizonte-MG. Sociedade Brasileira de Computacao/UFMG, pp. 213-216.
(1999)A realistic computational model of formation and variability of tonotopic maps in the auditory cortex.de Pinho, M. and Roque, A. C. Neurocomputing 26-27: 355-359.
(2001)A realistic model of tonotopic reorganization in the auditory cortex in response to cochlear lesions.de Pinho, M., Mazza, M. and Roque A. C.Neurocomputing 38-40:1169-1174.
(2006)A computational model of the primary auditory cortex exhibiting plasticity in the frequency representation.de Pinho, M., Mazza, M. and Roque, A. C.Neurocomputing 70:3-8.
(2002) Shannons entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning.de Pinho, M., Mazza, M., Piqueira, C. and Roque A. C.Neurocomputing, 44-46: 359-364.
(2000)A biologically plausible computer simulation of classical conditioning induced reorganization of tonotopic maps in the auditory de Pinho, M.. Mazza, M. and Roque, A. C.Neurocomputing 32-33: 685-691.
(1995)Cerebellar long-term depression might normalize excitation of Purkinje cells: a hypothesis.De Schutter, E.Trends in Neurosciences 18: 291-295.
(1997)A New Functional Role for Cerebellar Long Term Depression.De Schutter, E.Progress in Brain Research, C.I. De Zeeuw, J. Voogd, P. Strata editors, 114: 531-544.
(1998)Dendritic voltage and calcium-gated channels amplify the variability of postsynaptic responses in a Purkinje cell model.De Schutter, E.J. Neurophysiol. 80: 504-519
(1998)Detailed model of ryanodine receptor-mediated calcium release in Purkinje cells.De Schutter, E. Computational Neuroscience: Trends in research, 1998, J.M. Bower, editor, Plenum Publishing Corporation, New York, 161-166
(1999)Using realistic models to study synaptic integration in cerebellar Purkinje cells.De Schutter, E.Reviews in the Neurosciences 10: 233-245.
(1998)Calcium dynamics in large neuronal models.De Schutter, E. and Smolen, P.Methods in neuronal modeling: from ions to networks, C. Koch and I. Segev editors, MIT Press, Boston. 211-250.
(2000)Modeling Simple and Complex Active Neurons.De Schutter, E. and Steuber, V.Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter ed. CRC Press, Boca Raton, Chapter 9, 233-257.
(2000)The function of cerebellar Golgi cells revisited.De Schutter, E., Vos, B. P., and Maex, R. Progress in Brain Research, De Zeeuw, C.I., Ruigrok, T.J.H. and Gerrits, N.M. editors, 124: 81-93.
(2005)Spike-Timing Detection by Calcium Signaling Pathways of Cerebellar Purkinje Cells in Different Forms of Long-Term Depression.Doi, T., Kuroda, S., Michikawa, T. and Kawato, M.J. Neurosci. 25:950-961.
(2005)Encoding and decoding target locations with waves in the turtle visual cortex.Du, X., Ghosh, B. K. and Ulinski, P.IEEE Trans. Biomed. Eng. 52:566-577.
(2006)Encoding of motion targets by waves in turtle visual cortex.Du, X., Ghosh, B. K. and Ulinski, P. IEEE Trans. Biomed. Eng. 53:1688-1695.
(2005)CoCoDat: A database system for organizing and selecting quantitative data on single neurons and neuronal microcircuitry.Dyhrfjeld-Johnsen, J., Maier, J., Schubert, D., Staiger, J., Luhmann, H.J., Stephan, K.E., Kotter, R.Hippocampal thetaJ. Neurosci. Meth. 141:291-308.
(2002)Multi-level network modeling of cortical dynamics built on the GENESIS environment.Dyhrfjeld-Johnson, J., Nielson, P., Luhmann, H. J., Nothoff, G. and Kotter, R.Neurocomputing, 44-46: 863-868.
(2003)Guiding the modeller: organizing and selecting experimental model using the CoCoDat database.Dyhrfjeld-Johnson, J., Stephan, K., Maier, J., Luhmann, H. and Kotter, R.Neurocomputing, 52-54: 239-245.
(2005)Simulating in vivo-like Synaptic Input Patterns in Multicompartmental Models.Edgerton, J.Brains, Minds, and Media. 1:bmm225 (urn:nbn:de:0009-3-2256)
(2005)Hippocampal theta rhythms from a computational perspective: code generation, mood regulation and navigation.Erdi, P., Huhn, Zs. and Kiss, T.Neural Networks 18:1202-1211.
(1998)Synchronization: The Computational Currency of Cognition.Finkel ,L.H., Yen, S-C. and Menschik, E. D.ICANN 98, Proceedings of the 8th International Conference on Artificial Neural Networks Skovde, Sweden, 2-4 September 1998. Niklasson L, Boden M, Ziemke T (eds.). New York: Springer-Verlag, 1998.
(2001)Synchronization between patches of local excitation in a cerebellar granule layer model.Franck, P., Maex, R. and De Schutter, E.Neurocomputing 38-40: 595-599.
(2003)Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks.Fransen, E.Neurocomputing, 52-54: 763-769.
(2004)Ionic mechanisms in the generation of subthreshold oscillations and action potential clustering in entorhinal layer II stellate Fransen, E., Alonso A. A., Dickson, C. T., Magistretti, J. and Hasselmo, M.E.Hippocampus, 14:368-84.
(2001)Entorhinal neuronal activity during delayed matching tasks may depend on muscarinic-induced non-specific cation current I(CANM).Fransen, E., Alonso, A. A. and Hasselmo, M. E.Neurocomputing 38-40: 601-606.
(2002)Simulations of the role of the muscarinic-activated calcium-sensitive non-specific cation current I(NCM) in entorhinal neuronal Fransen, E., Alonso, A.A. and Hasselmo, M.E.J. Neurosci. 22: 1081-1097.
(2006)Mechanism of graded persistent cellular activity of entorhinal cortex layer V pyramidal neurons.Fransen, E., Tahvildari, B., Egorov, A. V., Hasselmo, M. E. and Alonso, A. Neuron 49:735-746.
(1999)A biophysical simulation of intrinsic and network properties of entorhinal cortex.Fransen, E., Wallenstein, G.V., Alonso, A.A., Dickson, C.T. and Hasselmo, M.E.Neurocomputing 26-27: 375-380.
(2008)Using a model to assess the role of the spatiotemporal pattern of inhibitory input and intrasegmental electrical coupling in theGarcia PS, Wright TM, Cunningham IR and Calabrese RL J. Neurophysiol. 100:1354-1371.
(2006)The effects of exercise training on alpha-motoneurons.Gardiner, P., Dai, Y. and Heckman, C. J.J. Appl. Physiol. 101:1228-1236.
(2007)neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space.Gleeson, P., Steuber, V. and Silver, R. Neuron, 54:219-235.
(1996)Dopaminergic and cholinergic modulation in a biophysical model of the neostriatum.Gobbel, J. R. J. M. Bower (Ed.), Computational Neuroscience: Trends in Research 1995 Academic Press, NY, 185-190
(1995)A biophysically-based model of the neostriatum as a reconfigurable network.Gobbel, J. R.M. Boden & L.-E. Niklasson (Eds.), Current Trends in Connectionism: Proceedings of the Second Swedish Conference on Connectionism, Skoevde, Sweden, March 1995. Hillsdale, NJ: Erlbaum.
(1997)Parallel GENESIS for large scale modeling.Goddard, N. and Hood, N.J.M. Bower Ed. Computational Neuroscience, Trends in Research, 1997. Plenum Press: New York, pp. 911-917.
(1993)Simulation of the muscle stretch reflex by a neuronal network.Graham, B. P. and Redman, S. J.F. H. Eeckman and J. M. Bower Eds. Computation and Neural Systems. Kluwer Academic Publishers, Boston, 323-330.
(1993) Dynamic behaviour of a model of the muscle stretch reflex. Graham, B.P. and Redman, S.J.Neural Networks 6:947-962.
(2008)Channel density distributions explain spiking variability in the Globus Pallidus: A combined physiology and computer simulation Gunay, C., Edgerton, J. R. and Jaeger, D.J. Neurosci. 28:7476-7491.
(2004) Modulation of septo-hippocampal theta activity by GABAA receptors: Experimental and computational approach.Hajos, M., Hoffmann, W. E., Orban, G., Kiss, T. and Erdi, P.Neuroscience 126:599-610.
(2004)mGluR-Mediated calcium oscillations in the lamprey: a computational model.Hallen, K., Huss, M., Kettunen, P., El Manira, A. and Hellgren-Kotaleski, J. Neurocomputing 58-60:431-435.
(2004)Sodium channels and dendritic spike initiation at excitatory synapses in globus pallidus neurons.Hanson, J. E., Smith, Y. and Jaeger, D. J. Neurosci. 24:329-340.
(1993) Modulation of neuronal adaptation and cortical associative memory function.Hasselmo, M .E., Barkai, E., Horwitz G. and Bergman, R. E .D.Neurons and Neural Systems, F. Eeckman, Ed., Kluwer Academic Publishers, pp. 287-292.
(2000)Modeling of Large Networks. Hasselmo, M. E. and Kapur, A.Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter ed. CRC Press, Boca Raton, Chapter 11, 289-315.
(2000)Computational modeling of entorhinal cortex.Hasselmo, M. E., Fransen, E., Dickson, C. and Alonso, A. A.Ann. NY Acad. Sci. 911: 418-446.
(2001)Theta rhythm oscillations and sequence coding in the hippocampus.Hasselmo, M. E., Kapur, A. and Wyble, B. P.Neurocomputing 38-40:633-640.
(1995)Neuromodulation and cortical function: modeling the physiological basis of behavior.Hasselmo, M.E.Behav. Brain Res. 67: 1-27.